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Light Cloud deploys your whole app from a GitHub repo. You connect the repository once, then every push builds and deploys by itself. No CI to set up, and you don't need a Dockerfile.
Static sites and single-page apps go out over a global CDN. That covers React, Vue, Angular, Svelte and Next.js static export.
Backends run as containers that scale with traffic. Node with Express, Fastify or NestJS. Python with FastAPI, Flask or Django. Also Go, Java, Ruby, PHP, .NET, and Next.js in SSR mode.
If your app needs data, add managed PostgreSQL in the same project. Connection details land in your environment variables, so the backend reaches it without extra setup.
We work out the framework from your repo. If you already have a Dockerfile, we use yours.
Connect a branch and it gets its own URL, built on every push. Delete the branch and the environment goes with it, so old previews don't pile up.
Point a domain at any app or environment. Add one DNS record at your registrar and the certificate is issued and renewed after that.
Build logs stream while the build runs. Runtime logs and metrics stay with the environment they belong to.
Every deploy keeps its commit, author, duration and build log. Redeploy an older one to roll back.
You can also skip the dashboard. Add our MCP server to Claude and ask it to create an app, deploy it, or show you why the last deploy failed. Same thing works in VS Code with GitHub Copilot.
GitHub
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Light Cloud's answer:
Your whole app is in one place:
One console, one bill. Nothing to connect, nothing to keep in sync.
And it's quick to set up. You connect a GitHub repo, we work out how to build it, and every push after that goes live on its own. No Dockerfile. No CI pipeline. No certificate to install.
Most tools do one part and leave you the rest. This does all of it.
Light Cloud's answer:
You need one tool instead of four, and it takes minutes instead of a week.
Here it's one signup and one push. Frontend, backend, Postgres, domains with SSL, logs and deploy history, all set up together, all on one invoice. Apps stop billing when they go idle, so you can keep six projects alive for almost nothing.
Light Cloud's answer:
Light Cloud's answer:
I spent over ten years building and running cloud infrastructure on AWS, GCP and Azure, mostly for other people. The pattern never changed. Every project meant putting the same pieces together again, from different vendors. And everyone I worked with could write the app but couldn't get it online on their own.
None of that was ever about the app. It was containers, certificates, DNS and a database. The same setup work every time, and it still eats most of the first week on a new project.
So I built the version where it's all in one place and takes a few clicks. It's still just me writing the code.
Based on our record, GitHub seems to be a lot more popular than Light Cloud. While we know about 2474 links to GitHub, we've tracked only 1 mention of Light Cloud. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 4 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 11 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 12 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 12 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 22 days ago
I'm working on PaaS called Light Cloud https://light-cloud.com. - Source: Hacker News / about 10 hours ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Render UIKit - React-inspired Swift library for writing UIKit UIs
VS Code - Build and debug modern web and cloud applications, by Microsoft
replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages โ without spending a second on setup.